New feature: Add AlmaLinux8 Dockerfile with updated ML toolchain (TensorFlow 2.17 / CUDA 12.3)#9
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xaviliz wants to merge 4 commits into
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New feature: Add AlmaLinux8 Dockerfile with updated ML toolchain (TensorFlow 2.17 / CUDA 12.3)#9xaviliz wants to merge 4 commits into
xaviliz wants to merge 4 commits into
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New dependencies: - tensorflow-2.17.0 - cuda-12.3 - cudnn-9 - bazel-6.5.0 - cmake-3.16.9 - gcc-11 - qt-5
- Download an Essentia version with updated tensorflow version and variables to build TF2.17.0 - Erase gaia from the building command to avoid errors building Qt4. Gaia should upgrade to Qt5 to build with cmake3
- Install Qt5 package - Qt4 is not available in Alma Linux8 - Define Bazel version to 6.5.0 in the .bashrc
dbogdanov
requested changes
May 19, 2026
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| # Check out a particular commit for building dependencies | ||
| curl -SLO https://github.com/MTG/essentia/archive/$ESSENTIA_3RDPARTY_VERSION.zip | ||
| curl -SLO https://github.com/xaviliz/essentia/archive/$ESSENTIA_3RDPARTY_VERSION.zip |
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| # Install dependencies to /usr/local; force --static flag to pickup private libraries for Qt | ||
| PKGCONFIG="/usr/bin/pkg-config --static" ./packaging/build_3rdparty_static_debian.sh --with-gaia ${with_tensorflow} | ||
| #! Gaia cannot be installed with Qt4 with cmake3, it needs to update to Qt5 first |
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Check if we can keep older cmake in addition to cmake3 to be able to build with Gaia.
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Well, the issue here is about there is no qt4-devel package in quay.io/pypa/manylinux_2_28_x86_64 we would need to update to Qt5 in AlmaLinux8
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We actually updated Gaia to Qt5 in this PR, therefore, we need to fix the pending issues in https://github.com/MTG/gaia/milestone/3, tag a new Gaia release and use it here.
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New feature: Add AlmaLinux8 Dockerfile with updated ML toolchain (TensorFlow 2.17 / CUDA 12.3)
Upgrade
New Dockerfile based on manylinux_2_28 AlmaLinux8 to update the Essentia building procedure and to accomplish
onnxruntimeprerequisites.Details
tensorflow-2.17.0it need to modifyTENSORFLOW_VERSIONand some TF flags inbuild_config.shPrerequisites
docker>= 29.0.0Testing
--with-vamp(ffmpeg should be build as dynamic library - need to add additional flags)TensorflowPredictunit tests have been successfully passedHow to test
How to run and validate